A structural approach for finding functional modules from large biological networks.
about
An in silico approach combined with in vivo experiments enables the identification of a new protein whose overexpression can compensate for specific respiratory defects in Saccharomyces cerevisiae.Clustering of High Throughput Gene Expression DataThe function of communities in protein interaction networks at multiple scalesWhich clustering algorithm is better for predicting protein complexes?Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profilesComputational approaches for detecting protein complexes from protein interaction networks: a survey.Recent advances in clustering methods for protein interaction networksConstructing a robust protein-protein interaction network by integrating multiple public databases.An efficient heuristic method for active feature acquisition and its application to protein-protein interaction prediction.MAE-FMD: multi-agent evolutionary method for functional module detection in protein-protein interaction networks.Identification of longevity genes with systems biology approaches.Heat shock partially dissociates the overlapping modules of the yeast protein-protein interaction network: a systems level model of adaptation.Density-based parallel skin lesion border detection with webCL.Detection of locally over-represented GO terms in protein-protein interaction networks.Evolutionary rate heterogeneity of core and attachment proteins in yeast protein complexes.A global view of antibiotic resistance.Protein interaction networks as metric spaces: a novel perspective on distribution of hubs.Pandora, a pathway and network discovery approach based on common biological evidence.MIPCE: an MI-based protein complex extraction technique.Development of an in silico method for the identification of subcomplexes involved in the biogenesis of multiprotein complexes in Saccharomyces cerevisiaeProtein complex detection with semi-supervised learning in protein interaction networks.NetMatchStar: an enhanced Cytoscape network querying app.SPECTRA: An Integrated Knowledge Base for Comparing Tissue and Tumor-Specific PPI Networks in Human.A least square method based model for identifying protein complexes in protein-protein interaction network.CommWalker: Correctly Evaluating Modules in Molecular Networks in Light of Annotation Bias.
P2860
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P2860
A structural approach for finding functional modules from large biological networks.
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A structural approach for finding functional modules from large biological networks.
@ast
A structural approach for finding functional modules from large biological networks.
@en
type
label
A structural approach for finding functional modules from large biological networks.
@ast
A structural approach for finding functional modules from large biological networks.
@en
prefLabel
A structural approach for finding functional modules from large biological networks.
@ast
A structural approach for finding functional modules from large biological networks.
@en
P2093
P2860
P1433
P1476
A structural approach for finding functional modules from large biological networks.
@en
P2093
Fusheng Tang
Mutlu Mete
Nurcan Yuruk
Xiaowei Xu
P2860
P2888
P356
10.1186/1471-2105-9-S9-S19
P478
P577
2008-08-12T00:00:00Z
P6179
1011402746